LAND USE AND LAND COVER CLASSIFICATION OF MULTISPECTRAL LANDSAT-8 SATELLITE IMAGERY USING DISCRETE WAVELET TRANSFORM

11 citations as recorded by crossref.

1. Analysis of Machine Learning Techniques for Sentinel-2A Satellite Images E. Alshari et al. 10.1155/2022/9092299
2. Detecting Changes in Impervious Surfaces Using Multi-Sensor Satellite Imagery and Machine Learning Methodology in a Metropolitan Area Y. Wu & J. Pan 10.3390/rs15225387
3. Mapping carbon–thermal environments for comprehending real-time scenarios C. Srivastava & A. Bharat 10.1007/s11600-024-01387-3
4. Novel Vision Transformer–Based Bi-LSTM Model for LU/LC Prediction—Javadi Hills, India S. Mohanrajan & A. Loganathan 10.3390/app12136387
5. Fuzzy Swin transformer for Land Use/ Land Cover change detection using LISS-III Satellite data S. MohanRajan et al. 10.1007/s12145-023-01208-z
6. Vulnerability assessment of aerosol and climate variability for rice and maize yield using EO datasets for sustainable agriculture over India D. Gupta et al. 10.1007/s10661-024-12862-1
7. A Study on the Difference of LULC Classification Results Based on Landsat 8 and Landsat 9 Data H. You et al. 10.3390/su142113730
8. Past and future land-use/land-cover change trends and its potential drivers in Koore’s agricultural landscape, Southern Ethiopia A. Abdurahman et al. 10.1080/10106049.2023.2229952
9. Soil erosion assessment and identification of erosion hotspot areas in the upper Tekeze Basin, Northern Ethiopia A. Fentaw & A. Abegaz 10.1016/j.heliyon.2024.e32880
10. Mapping Hydrothermal Alteration at the Fentale-Dofan Magmatic Segment of the Main Ethiopian Rift M. Raggiunti et al. 10.3389/feart.2021.716144
11. Monitoring the Spatio-Temporal Changes of Non-Cultivated Land via Long-Time Series Remote Sensing Images in Xinghua S. Zhang et al. 10.1109/ACCESS.2022.3197650